Using Crowdsourced Images to Make Image Recognition Models (Maurice Nsabimana and Jiao Wang)
163 views · Published 27 September 2018 · 31:17 · Indexed 25 September 2026
Channel: Databricks · 2018 · Science & Technology
Maurice Nsabimana, a macroeconomic indicator in the World Bank's Development Data Group, and Jiao Wang, a software engineer at Intel, talk about how volunteers around the world increasingly act as human sensors to collect millions of data points. A team from the World Bank trained deep learning models, using Apache Spark and BigDL, to confirm that photos gathered through a crowdsourced data collection pilot matched the goods for which observations were submitted. Learn more here: https://databricks.com/session/using-crowdsourced-images-to-create-image-recognition-models-with-bigdl Article you might like: https://databricks.com/session/integrating-existing-c-libraries-into-pyspark About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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